Dissertação
Um modelo de redes de mapas acoplados para um sistema praga-predador-inseticida
Fecha
2016-08-24Registro en:
CERESER, Henrique Bevilaqua. COUPLED MAP LATTICE MODEL FOR AN
PREY-PREDATOR-INSECTICIDE SYSTEM. 2016. 62 f. Dissertação (Mestrado em Matemática) - Universidade Federal de Santa Maria, Santa Maria, 2016.
Autor
Cereser, Henrique Bevilaqua
Institución
Resumen
This research is inserted in the Biomathematics Research Group of the Programa de
Pós-Graduação em Matemática of the Universidade Federal de Santa Maria-RS. It
consists in the study of a discrete model for a prey-predator-insecticide system based
on the Coupled Map Lattice as basic tool for its formulation. Due to the serious
problems that crop pests represent to agriculture, we aproached the Integrated Pest
Management (IPM), which is a pest control system that seeks to preserve and enhance
the natural mortality factors of pests by integrated use of control methods selected
based on technical, economic, ecological and sociological parameters. The objective
of this work is to build a model as simple as possible to study the effects of different
pests management strategies. These strategies are divided into different treatments
which take into account the number of measurements of pest population, establishing control levels (CL) and different control measures (pesticide and biological control).
For comparison and to point where the treatment is more efficient to compute the
total density of the pest population without any control measure and when each
treatment is applied over a certain period of time. The difference between these values
is converted into a decreasing percentage of the population of pests. The same is done to obtain the percentage decrease in the number of treated sites. It was found that
the sooner you apply the insecticide in the system, the more effective the treatment.
Furthermore, it was observed that the presence of predators (biological control) decreases
the amount of treated sites and, in some instances, is less effective in controlling pest.